Very excited to be part of this effort and to finally share what we've been working on! Over the last few months, we've seen a wave of experimentation with autoresearch, AI Scientists, and similar ideas — all powered by frontier coding agents that can tackle long-horizon tasks, run experiments, and iteratively improve their results. At the same time, research reproducibility remains a major challenge. There's simply not enough time to verify every paper, or even reproduce its main results — especially when doing so can come with enormous compute costs. Robotics takes this challenge to another level. Even when the code is publicly available, reproducing a result often requires collecting and curating datasets, handling annotations, setting up hardware, and running real-world evaluations. The barrier to entry is incredibly high. Today, we're sharing our vision for bringing these two worlds together: leveraging frontier AI agents to automate much of the implementation work, while combining them with our robotics expertise and infrastructure to enable real-world evaluation at scale. Really excited about what we're building, and even more about what's coming next. Stay tuned!